Skip to main content

This module enables logging of parameters, metrics, and artifacts to MLflow using the Tracking Log Model SDK. It also provides functionality to persist models to Amazon S3 based on specific message types.

Project description

The author of this package has not provided a project description

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

neuroedge_model_sdk-1.0.2.tar.gz (3.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

neuroedge_model_sdk-1.0.2-py3-none-any.whl (4.7 kB view details)

Uploaded Python 3

File details

Details for the file neuroedge_model_sdk-1.0.2.tar.gz.

File metadata

  • Download URL: neuroedge_model_sdk-1.0.2.tar.gz
  • Upload date:
  • Size: 3.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.6

File hashes

Hashes for neuroedge_model_sdk-1.0.2.tar.gz
Algorithm Hash digest
SHA256 3cb7e4af74d0b6b59b54cde4c99c1aab514a13bfcd7c38d3abb9ec900eaa7b2b
MD5 3efe729873f211474b5066a04ba2fa4b
BLAKE2b-256 24980e57bf4b43c1ed8b9d5ddc2eae47fdf2dbd561dafecbcd3569ec0fd5ffda

See more details on using hashes here.

File details

Details for the file neuroedge_model_sdk-1.0.2-py3-none-any.whl.

File metadata

File hashes

Hashes for neuroedge_model_sdk-1.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 f8205b29038c1aef3263f15c2fd3f4d0e1b1e17a8660fa44366695e331ca4b54
MD5 9b0417f4335f736ec7d29ed31141d386
BLAKE2b-256 4890c135c55dcdef331ab2ef669994cdb7a193640d6ea18b96d4e0bc8a8e4ab6

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page